Time is on your side? Yes it is!
The deadline for the #symbolicregression workshop at #gecco2025, was just extended to April 2nd! We are looking forward for your submissions! More info: heal.heuristiclab.com/research/sym...

Unseen Commercial Forces Could Undermine Artificial Intelligence Decision Support Artificial intelligence (AI) is poised to transform health care, yet without robust safeguards, unseen commercial interests could distort care by prioritizing profit over patient well-being. The ph...

My Perspective in @NEJM_AI. AI could distort clinical decision-making in ways that prioritize profit over patient care. Oversight & regulation must go beyond performance metrics alone to address hidden commercial forces that could shape decision support. ai.nejm.org/doi/full/10....

tl;dr binarizing mortality prediction makes models really sensitive to time horizons. models trained on acute care patients show more value than those from outpatient care, where performance is only slightly better when including ECGs. site-specific models are generally better than global ones.

Although a number of studies have shown decent performance from one-off models, we've done a more thorough look at how modeling decisions (e.g. classification versus survival prediction, choice of covariates, health setting) affect mode performance. the preprint is here: arxiv.org/abs/2406.170...

Benchmarking mortality risk prediction from electrocardiograms Taking a closer look at survival modeling with ECGs

Sharing some recent work we've been doing to understanding mortality risk prediction using electrocardiograms, led by Platon Lukyanenko. cavalab.org/2025/02/14/e...